ML Solutions Architect

🔥 35 minutes ago

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NBCUniversal

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

📱 Media

Media • Entertainment

NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.

📋 Description

• Design and implement the software layers that allow ML models to interact with a real-time rendering engine. • Evaluate incoming customer requirements to determine the optimal path forward. • Build and maintain wrappers, APIs, and microservices that allow our ML stack to remain flexible and language-agnostic across different production environments. • Act as the primary technical liaison between technical leadership, customers, and the core engineering team to spec out data and integration requirements. • Break down complex product visions into manageable architectural components, ensuring that ML components ship as part of a stable, scalable software product.

🎯 Requirements

• Degree in Computer Science, Software Engineering, or a related field. • Proven experience as a Software Architect or Systems Engineer in a fast-paced environment. • Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace. • Fluency with Git, and the Unix shell, with a strong ability to work across multiple programming languages as needed (ideally including one or more of Python, C++, C#). • Deep understanding of how to integrate ML models into production software (e.g., API design, message brokers, and containerization, compute and memory budgeting). • Must have enough ML-adjacent experience to understand model constraints, data requirements, and the 'state of the art.' • Exceptional ability to translate high-level product vision into concrete engineering specs for both technical leadership and specialized engineers.

🏖️ Benefits

• Health insurance • Professional development opportunities